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Gui-Hua Duan

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Open access Sep 2026

TMEDRP: decoding tumor-intrinsic and microenvironmental signatures for clinical drug response prediction

Abstract Motivation Clinical drug response prediction is constrained by the paucity of patient data, forcing a reliance on in vitro cell line models. Current transfer learning-based methods typically focus on learning domain-invariant representations, but often overlook the critical role of tumor microenvironment (TME)...

Ya-Bin Kuang, Hao-Chen Zhao, Yi Luo et al. · 0 citations
Open access Jul 2026

Momentum contrast-enhanced multimodal representation learning for drug synergy prediction

Abstract Motivation Accurate prediction of synergistic drug combinations can accelerate anticancer combination discovery. Existing methods inadequately model higher order drug–drug–cell-line interactions and drug–disease associations and remain sensitive to sparse and noisy multiomics data, limiting generalization to u...

Yunxia Gu, Xindi Huang, Lifen Shi et al. · 0 citations

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